Algorithms for sampling across models include reversible-jump MCMC
[1]}, Gibbs sampling [2]}, Bayesian stochastic search
variable selection [3]}, [4]}, and approximations of reversible-jump
[5]}.
In fact, the first application of Bayes factors for phylogenetic model comparison was performed by [6]} via reversible-jump MCMC.
This technique was also used in Bayesian tests of phylogenetic incongruence/recombination [7]}, [8]}.
In terms of selecting the correct “relaxed-clock” model from simulated data,
[9]} and
[10]} showed that model-averaging performed similarly to the
path-sampling and stepping-stone marginal likelihood estimators.
